Rename, remove, and compute fields in JSON data. Deterministic rules. No ML. No external calls. No data leaves your machine.
Every SaaS company uses multiple tools, and each tool has its own data format.
CRM says first_name. Billing says firstName. Support says fname. Stitching data between tools means manual mapping, custom scripts, or expensive integration platforms.
Existing integration tools are complex and expensive.
Zapier, Make, and n8n are powerful but overkill for simple field renaming and computation. They require accounts, learning curves, and monthly subscriptions.
Feed it JSON data and a set of rules. Get back transformed JSON:
Rename fields from one format to another.
Remove fields you don't need.
Calculate new fields from existing ones.
$ echo '{"data":{"first_name":"John","monthly_price":29,"seats":5},"rules":{"rename":{"first_name":"firstName","monthly_price":"price"},"compute":{"total":"seats * price"}}}' | python router.py
{"firstName": "John", "price": 29, "seats": 5, "total": 145}
Deterministic rules. No model, no API call, no data leaves your machine. Same input to same output, every time.
An LLM transforming data is a black box you cannot audit.
When a transformer says "total is 145", you need to know why. A rule you can read is a rule you can trust, debug, and improve.
EUR49 one-time. Runs locally. No subscription, no cloud, no data collection.
Buy now - EUR49